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Optimization Method for Wide Beam Sonar Transmit Beamforming

Imaging and mapping sonars such as forward-looking sonars (FLS) and side-scan sonars (SSS) are sensors frequently used onboard autonomous underwater vehicles. To acquire information from around the vehicle, it is desirable for these sonar systems to insonify a large area; thus, the sonar transmit be...

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Autores principales: Rixon Fuchs, Louise, Maki, Atsuto, Gällström, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9570710/
https://www.ncbi.nlm.nih.gov/pubmed/36236625
http://dx.doi.org/10.3390/s22197526
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author Rixon Fuchs, Louise
Maki, Atsuto
Gällström, Andreas
author_facet Rixon Fuchs, Louise
Maki, Atsuto
Gällström, Andreas
author_sort Rixon Fuchs, Louise
collection PubMed
description Imaging and mapping sonars such as forward-looking sonars (FLS) and side-scan sonars (SSS) are sensors frequently used onboard autonomous underwater vehicles. To acquire information from around the vehicle, it is desirable for these sonar systems to insonify a large area; thus, the sonar transmit beampattern should have a wide field of view. In this work, we study the problem of the optimization of wide transmission beampatterns. We consider the conventional phased-array beampattern design problem where all array elements transmit an identical waveform. The complex weight vector is adjusted to create the desired beampattern shape. In our experiments, we consider wide transmission beampatterns (≥20 [Formula: see text]) with uniform output power. In this paper, we introduce a new iterative-convex optimization method for narrowband linear phased arrays and compare it to existing approaches for convex and concave–convex optimization. In the iterative-convex method, the phase of the weight parameters is allowed to be complex as in disciplined convex–concave programming (DCCP). Comparing the iterative-convex optimization method and DCCP to the standard convex optimization, we see that the former methods archive optimized beampatterns closer to the desired beampatterns. Furthermore, for the same number of iterations, the proposed iterative-convex method achieves optimized beampatterns, which are closer to the desired beampattern than the beampatterns achieved by optimization with DCCP.
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spelling pubmed-95707102022-10-17 Optimization Method for Wide Beam Sonar Transmit Beamforming Rixon Fuchs, Louise Maki, Atsuto Gällström, Andreas Sensors (Basel) Article Imaging and mapping sonars such as forward-looking sonars (FLS) and side-scan sonars (SSS) are sensors frequently used onboard autonomous underwater vehicles. To acquire information from around the vehicle, it is desirable for these sonar systems to insonify a large area; thus, the sonar transmit beampattern should have a wide field of view. In this work, we study the problem of the optimization of wide transmission beampatterns. We consider the conventional phased-array beampattern design problem where all array elements transmit an identical waveform. The complex weight vector is adjusted to create the desired beampattern shape. In our experiments, we consider wide transmission beampatterns (≥20 [Formula: see text]) with uniform output power. In this paper, we introduce a new iterative-convex optimization method for narrowband linear phased arrays and compare it to existing approaches for convex and concave–convex optimization. In the iterative-convex method, the phase of the weight parameters is allowed to be complex as in disciplined convex–concave programming (DCCP). Comparing the iterative-convex optimization method and DCCP to the standard convex optimization, we see that the former methods archive optimized beampatterns closer to the desired beampatterns. Furthermore, for the same number of iterations, the proposed iterative-convex method achieves optimized beampatterns, which are closer to the desired beampattern than the beampatterns achieved by optimization with DCCP. MDPI 2022-10-04 /pmc/articles/PMC9570710/ /pubmed/36236625 http://dx.doi.org/10.3390/s22197526 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Rixon Fuchs, Louise
Maki, Atsuto
Gällström, Andreas
Optimization Method for Wide Beam Sonar Transmit Beamforming
title Optimization Method for Wide Beam Sonar Transmit Beamforming
title_full Optimization Method for Wide Beam Sonar Transmit Beamforming
title_fullStr Optimization Method for Wide Beam Sonar Transmit Beamforming
title_full_unstemmed Optimization Method for Wide Beam Sonar Transmit Beamforming
title_short Optimization Method for Wide Beam Sonar Transmit Beamforming
title_sort optimization method for wide beam sonar transmit beamforming
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9570710/
https://www.ncbi.nlm.nih.gov/pubmed/36236625
http://dx.doi.org/10.3390/s22197526
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